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Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles

Csaba Benedek 1 Xavier Descombes 1 Josiane Zerubia 1 
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical framework which can create various building appearance models from different elementary feature based modules. A global optimization process attempts to find the optimal configuration of buildings, considering simultaneously the observed data, prior knowledge, and interactions between the neighboring building parts. The proposed method is evaluated on various aerial image sets containing more than 500 buildings, and the results are matched against two state-of-the-art techniques.
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Submitted on : Wednesday, May 5, 2010 - 5:03:29 PM
Last modification on : Friday, February 4, 2022 - 3:18:58 AM
Long-term archiving on: : Thursday, September 16, 2010 - 1:27:36 PM


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  • HAL Id : inria-00481019, version 1



Csaba Benedek, Xavier Descombes, Josiane Zerubia. Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles. International Conference on Pattern Recognition (ICPR), Aug 2010, Istanbul, Turkey. ⟨inria-00481019⟩



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